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AN ADAPTIVE SHIP DETECTION ALGORITHM FOR HRWS SAR IMAGES UNDER COMPLEX BACKGROUND: APPLICATION TO SENTINEL1A DATA
HRWS SAR Real-time ship detection Adaptive sliding window GLCM Sentinel1A
2018/5/14
Real-time ship detection using synthetic aperture radar (SAR) plays a vital role in disaster emergency and marine security. Especially the high resolution and wide swath (HRWS) SAR images, provides th...
S-CNN-BASED SHIP DETECTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGES
Ship Detection Convolutional Neutral Networks (CNN) S-CNN Ship Model Construction
2016/11/23
Reliable ship detection plays an important role in both military and civil fields. However, it makes the task difficult with high-resolution remote sensing images with complex background and various t...
A NOVEL SHIP DETECTION METHOD FOR LARGE-SCALE OPTICAL SATELLITE IMAGES BASED ON VISUAL LBP FEATURE AND VISUAL ATTENTION MODEL
Ship Detection Large-Scale Optical Image Visual LBP Feature Visual Attention Support Vector Machine (SVM)
2016/7/28
Reliably ship detection in optical satellite images has a wide application in both military and civil fields. However, this problem is very difficult in complex backgrounds, such as waves, clouds, and...
Automatic Ship Detection in Space-borne SAR Imagery
Ship Detecction Space-borne SAR ALOS-PALSAR RADARSAT-1
2016/1/25
Synthetic aperture radar (SAR) imagery has proven to be a promising data source for the surveillance of maritime activity, and its
application for automatic ship detection has been the focus of many...
AUTOMATIC SHIP DETECTION IN SINGLE-POL SAR IMAGES USING TEXTURE FEATURES IN ARTIFICIAL NEURAL NETWORKS
Ship detection texture feature neural network sentinel SAR
2016/1/15
This paper presents a novel method for detecting ships from high-resolution synthetic aperture radar (SAR) images. This method categorizes ship targets from single-pol SAR images using texture feature...